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Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China

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  • Ren, Bo
  • Ren, Shaoran
  • Zhang, Liang
  • Chen, Guoli
  • Zhang, Hua

Abstract

Jilin Oilfield is conducting a large-scale demonstration project on CO2 EOR (enhanced oil recovery) and storage in China. CO2 separated from a nearby natural gas reservoir (15–30 mol% CO2) is injected into the northern part of H59 oil block with permeability and porosity of 3.5 mD and 12.7%, respectively. After about six years of operation, nearly 0.26 million tons of CO2 (0.32 HCPV (hydrocarbon pore volume)) has been injected into the thin oil layers with well-developed natural fractures. In order to track the movement of CO2 in the oil reservoir, a microseismic monitoring program has been implemented to map the CO2 flow anisotropy and estimate its sweeping efficiency. Gas tracer testing has also been conducted to examine the inter-well connectivity. The temporal change of produced CO2 has been analyzed in a real-time mode to monitor the dynamic response in production wells. It is demonstrated that the migration of CO2 in the thin oil layers can be successfully detected by the microseismic technique, and the sweeping profiles of CO2 obtained from the inverted microseismic are in good agreement with the produced CO2 rate from production wells as well as the reservoir's petrophysical properties.

Suggested Citation

  • Ren, Bo & Ren, Shaoran & Zhang, Liang & Chen, Guoli & Zhang, Hua, 2016. "Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China," Energy, Elsevier, vol. 98(C), pages 108-121.
    • Handle: RePEc:eee:energy:v:98:y:2016:i:c:p:108-121
    DOI: 10.1016/j.energy.2016.01.028
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    References listed on IDEAS

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    Cited by:

    1. Zuloaga, Pavel & Yu, Wei & Miao, Jijun & Sepehrnoori, Kamy, 2017. "Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs," Energy, Elsevier, vol. 134(C), pages 181-192.
    2. Zhang, Xiang & Wei, Bing & You, Junyu & Liu, Jiang & Wang, Dianlin & Lu, Jun & Tong, Jing, 2021. "Characterizing pore-level oil mobilization processes in unconventional reservoirs assisted by state-of-the-art nuclear magnetic resonance technique," Energy, Elsevier, vol. 236(C).
    3. Yuan Zhang & Jinghong Hu & Qi Zhang, 2019. "Simulation Study of CO 2 Huff-n-Puff in Tight Oil Reservoirs Considering Molecular Diffusion and Adsorption," Energies, MDPI, vol. 12(11), pages 1-15, June.
    4. Liu, Bingsheng & Liu, Song & Xue, Bin & Lu, Shijian & Yang, Yang, 2021. "Formalizing an integrated decision-making model for the risk assessment of carbon capture, utilization, and storage projects: From a sustainability perspective," Applied Energy, Elsevier, vol. 303(C).
    5. Kun Qian & Shenglai Yang & Hongen Dou & Qian Wang & Lu Wang & Yu Huang, 2018. "Experimental Investigation on Microscopic Residual Oil Distribution During CO 2 Huff-and-Puff Process in Tight Oil Reservoirs," Energies, MDPI, vol. 11(10), pages 1-16, October.
    6. Aysylu Askarova & Aliya Mukhametdinova & Strahinja Markovic & Galiya Khayrullina & Pavel Afanasev & Evgeny Popov & Elena Mukhina, 2023. "An Overview of Geological CO 2 Sequestration in Oil and Gas Reservoirs," Energies, MDPI, vol. 16(6), pages 1-34, March.
    7. Tang, Yong & Chen, Yulin & He, Youwei & Yu, Guangming & Guo, Xifeng & Yang, Qing & Wang, Yong, 2021. "An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability," Energy, Elsevier, vol. 236(C).
    8. Yuan Zhang & Yuan Di & Yang Shi & Jinghong Hu, 2018. "Cyclic CH 4 Injection for Enhanced Oil Recovery in the Eagle Ford Shale Reservoirs," Energies, MDPI, vol. 11(11), pages 1-15, November.
    9. Ren, Bo & Duncan, Ian J., 2019. "Reservoir simulation of carbon storage associated with CO2 EOR in residual oil zones, San Andres formation of West Texas, Permian Basin, USA," Energy, Elsevier, vol. 167(C), pages 391-401.
    10. Wang, Lele & Wei, Bing & You, Junyu & Pu, Wanfen & Tang, Jinyu & Lu, Jun, 2023. "Performance of a tight reservoir horizontal well induced by gas huff–n–puff integrating fracture geometry, rock stress-sensitivity and molecular diffusion: A case study using CO2, N2 and produced gas," Energy, Elsevier, vol. 263(PA).
    11. Yang, Mingyang & Huang, Shijun & Zhao, Fenglan & Sun, Haoyue & Chen, Xinyang, 2024. "Experimental investigation of CO2 huff-n-puff in tight oil reservoirs: Effects of the fracture on the dynamic transport characteristics based on the nuclear magnetic resonance and fractal theory," Energy, Elsevier, vol. 294(C).
    12. Zhang, Lisong & Zhang, Shiyan & Jiang, Weizhai & Wang, Zhiyuan & Li, Jing & Bian, Yinghui, 2018. "A mechanism of fluid exchange associated to CO2 leakage along activated fault during geologic storage," Energy, Elsevier, vol. 165(PB), pages 1178-1190.
    13. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    14. Yanqing Wang & Liang Zhang & Shaoran Ren & Bo Ren & Bailian Chen & Jun Lu, 2020. "Identification of potential CO2 leakage pathways and mechanisms in oil reservoirs using fault tree analysis," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 331-346, April.
    15. Wei, Bo & He, Xiaobiao & Li, Xin & Ju, Yiwen & Jin, Jun & Luo, Qiang, 2023. "Residual oil contents of dolomicrite and sandy dolomite tight oil reservoirs after CO2 huff and puff: An experimental study," Energy, Elsevier, vol. 275(C).
    16. Cai, Mingyu & Su, Yuliang & Elsworth, Derek & Li, Lei & Fan, Liyao, 2021. "Hydro-mechanical-chemical modeling of sub-nanopore capillary-confinement on CO2-CCUS-EOR," Energy, Elsevier, vol. 225(C).
    17. Chen, Bailian & Pawar, Rajesh J., 2019. "Characterization of CO2 storage and enhanced oil recovery in residual oil zones," Energy, Elsevier, vol. 183(C), pages 291-304.
    18. Yang, Renfeng & Zhang, Jinqing & Chen, Han & Jiang, Ruizhong & Sun, Zhe & Rui, Zhenhua, 2019. "The injectivity variation prediction model for water flooding oilfields sustainable development," Energy, Elsevier, vol. 189(C).
    19. Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Wang, Dandan & Jing, Xianwen, 2023. "Analysis of the effect of formation dip angle and injection pressure on the injectivity and migration of CO2 during storage," Energy, Elsevier, vol. 280(C).
    20. Wang, Xiao-Hui & Sun, Yi-Fei & Wang, Yun-Fei & Li, Nan & Sun, Chang-Yu & Chen, Guang-Jin & Liu, Bei & Yang, Lan-Ying, 2017. "Gas production from hydrates by CH4-CO2/H2 replacement," Applied Energy, Elsevier, vol. 188(C), pages 305-314.
    21. Chen, Bailian & Harp, Dylan R. & Lin, Youzuo & Keating, Elizabeth H. & Pawar, Rajesh J., 2018. "Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach," Applied Energy, Elsevier, vol. 225(C), pages 332-345.
    22. Lingbin Meng & Jing Zheng & Ruizhao Yang & Suping Peng & Yuan Sun & Jingyu Xie & Dewei Li, 2023. "Microseismic Monitoring Technology Developments and Prospects in CCUS Injection Engineering," Energies, MDPI, vol. 16(7), pages 1-21, March.
    23. Xingbang Meng & Zhan Meng & Jixiang Ma & Tengfei Wang, 2018. "Performance Evaluation of CO 2 Huff-n-Puff Gas Injection in Shale Gas Condensate Reservoirs," Energies, MDPI, vol. 12(1), pages 1-18, December.
    24. Si Le Van & Bo Hyun Chon, 2017. "Applicability of an Artificial Neural Network for Predicting Water-Alternating-CO 2 Performance," Energies, MDPI, vol. 10(7), pages 1-20, June.

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    Keywords

    CCS-EOR; CO2 migration monitoring; Microseismic; Gas tracer;
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